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NVIDIA

Designs the chips and software that power AI

Developer Tools DevOps Engineering Intern

DevOps EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Warsaw, PolandPLN56.61 - PLN98.13 /hrIn-person

About the Job

Requirements

  • The candidate must be a student pursuing a Bachelor of Science or Master of Science in Computer Science or an equivalent area.
  • The candidate must have thorough knowledge of Python scripting.
  • The candidate must have experience with build systems such as CMake, Bazel, or MSBuild.
  • The candidate must have experience with continuous integration systems such as Jenkins, GitLab, or Gerrit.
  • The candidate must have strong problem-solving and debugging skills.
  • The candidate must be familiar with source control systems such as Git or Perforce.
  • The candidate must have experience setting up and working with containers such as Docker or Kubernetes.
  • The candidate must be able to self-manage, communicate, and adapt in a fast-paced, high-demand environment with changing priorities and direction.
  • The candidate must have excellent written and verbal communication skills.

Responsibilities

  • Maintain and improve build, test, and release infrastructure used by multiple teams across the Developer Tools organization.
  • Enable the delivery of new products and tools.
  • Collect requests from individual teams and convey them to global infrastructure support teams.
  • Work with teams to analyze and triage infrastructure failures and drive them to resolution.

Desired Qualifications

  • Experience with C++ programming.
  • Experience with .NET programming.
  • Background with WSL.
  • Experience configuring and upgrading compiler toolchains.
  • Experience with HPC, AI, or Ethernet clusters.
  • Familiarity with Perl scripting, including maintaining existing code and rewriting existing code in Python.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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